Evidence map›Paper›PMID 37494830›Full record

Trial reportThe Journal of cardiovascular nursing

Computerized Cognitive Training and 24-Month Mortality in Heart Failure.

Miyeon Jung, Asa B Smith, Bruno Giordani, David G Clark, Irmina Gradus-Pizlo, Kelly L Wierenga, Kittie Reid Lake, Susan J Pressler

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Miyeon Jung
Asa B Smith
Bruno Giordani
David G Clark
Irmina Gradus-Pizlo
Kelly L Wierenga
Kittie Reid Lake
Susan J Pressler
Indiana University – Purdue University Indianapolis · US

Funding

Cognitive Intervention to Improve Memory in Heart Failure PatientsR01NR016116 · NINR · INDIANA UNIVERSITY INDIANAPOLIS · PI GIORDANI, BRUNO, PRESSLER, SUSAN JANE · 2016 to 2020
$2.9M
Virtual Reality and Computerized Cognitive Intervention for Mild Cognitive Impairment in Heart FailureK76AG074940 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Miyeon Jung · 2022 to 2026
$1.2M
NIA NIH HHS K76 AG074940NINR NIH HHS R01 NR016116
6 · The paper itself

Abstract

backgroundCognitive dysfunction predicts mortality in heart failure (HF). Computerized cognitive training (CCT) has shown preliminary efficacy in improving cognitive function. However, the relationship between CCT and mortality is unclear. Aims were to evaluate (1) long-term efficacy of CCT in reducing 24-month mortality and (2) age, HF severity, global cognition, memory, working memory, depressive symptoms, and health-related quality of life as predictors of 24-month mortality among patients with HF.

methodsIn this prospective longitudinal study, 142 patients enrolled in a 3-arm randomized controlled trial were followed for 24 months. Logistic regression was used to achieve the aims.

resultsAcross 24 months, 16 patients died (CCT, 8.3%; control groups, 12.8%). Computerized cognitive training did not predict 24-month mortality (odds ratio [OR], 0.65). Older age (OR, 1.08), worse global cognition (OR, 0.73), memory (OR, 0.81), and depressive symptoms (OR, 1.10) at baseline predicted 24-month mortality.

conclusionsEfficacious interventions are needed to improve global cognition, memory, and depressive symptoms and reduce mortality in HF.

Indexed as

Cognitive DysfunctionHeart FailureCognitionCognitive TrainingHumansLongitudinal StudiesProspective StudiesQuality of Life

Identifiers

PMID37494830
PMCPMC10808269
OpenAlexW4385266104

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.